DOCSLIB.ORG

Bacterial Communities Associated with the Pine Wilt Disease Vector Monochamus Alternatus (Coleoptera: Cerambycidae) During Different Larval Instars

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Bacterial Communities Associated with the Pine Wilt Disease Vector Monochamus Alternatus (Coleoptera: Cerambycidae) During Different Larval Instars Journal of Insect Science, (2017)17(6): 115; 1–7 doi: 10.1093/jisesa/iex089 Research Article Bacterial Communities Associated With the Pine Wilt Disease Vector Monochamus alternatus (Coleoptera: Cerambycidae) During Different Larval Instars Xia Hu,1 Ming Li,1 Kenneth F. Raffa,2 Qiaoyu Luo,1 Huijing Fu,1 Songqing Wu,1 Guanghong Liang,1 Rong Wang,1 and Feiping Zhang1,3 1College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China, 2Department of Entomology, University of Wisconsin-Madison, 345 Russell Labs 1630 Linden Dr., Madison, WI 53706, and 3Corresponding author, e-mail: [email protected] Subject Editor: Campbell Mary and Lancette Josh Received 14 June 2017; Editorial decision 20 September 2017 Abstract We investigated the influence of larval instar on the structure of the gut bacterial community in the Japanese pine sawyer, Monochamus alternatus (Hope; Coleoptera: Cerambycidae). The diversity of the gut bacterial community in early, phloem-feeding larvae is significantly higher than in later, wood-feeding larvae. Many of these associates were assigned into a few taxonomic groups, of which Enterobacteriaceae was the most abundant order. The predominant bacterial genus varied during the five instars of larval development.Erwinia was the most abundant genus in the first and fifth instars,Enterobacter was predominant in the third and fourth instars, and the predominant genus in the second instars was in the Enterobacteriaceae (genus unclassified). Actinobacteria were reported in association with M. alternatus for the first time in this study. Cellulomonadaceae (Actinobacteria) was the second most abundant family in the first instar larvae (10.6%). These data contribute to our understanding of the relationships among gut bacteria and M. alternatus, and could aid the development of new pest control strategies. Key words: gut bacteria, pyrosequencing, long-horned beetle, Enterobacteriaceae Larvae of long-horned beetles (Cerambycidae) are xylophagous, and Iwasaki 1972, Teale et al. 2011). This insect-transmitted patho- which feed in subcortical tissues of healthy, dead, or decaying woody gen has caused significant losses of pines in Japan, Korea, China, and plants (Haack and Slansky 1987, Grünwald et al. 2010). Larval Portugal (Rodrigues 2009, Chen et al. 2013, Alves et al. 2016, Van development occurs entirely within the host, requires at least several Nguyen et al. 2017). One of the major strategies to manage the nem- months, and can kill trees (Allison et al. 2004). Bacterial communi- atode is to reduce between-tree transport by controlling M. alterna- ties associated with subcortically feeding beetles are known to play tus. Owing to the importance of M. alternatus, various aspects of its important roles in facilitating larvae in surviving and developing physiology and genetics have been studied, such as its pheromones within their host plants (Douglas 2009; Scully et al. 2013, 2014; (Teale et al. 2011), transcriptome (Wu et al. 2016), pathogens (Ma Alves et al. 2016). Bacterial communities are reported to contribute et al. 2009), symbiotic fungi (Maehara et al. 2005) and tracheal to their host beetles’ reproductive success, community interactions bacteria (Alves et al. 2016). However, symbiotic intestinal bacterial and niche diversification (Cardoza et al. 2006, Scott et al. 2008, communities are not well known for M. alternatus. Douglas 2009, Morales-Jiménez et al. 2013). Bacteria can contribute Like other Monochamus spp., M. alternatus feed on different to the nutrition of phloeophagous and xylophagous larvae, which sections of the wood during different larval stars. After hatching, rely on a nutrient-poor food source, by exploiting nitrogen and car- early larvae feed first on phloem under bark. Later larvae feed in the bon compounds in woody substrates and providing nutritional sup- xylem, including sapwood and heartwood, and form long, irregular plements that are absent from the substrate, such as amino acids mines (Yanega 1996). Thus, their food source changes substantially and essential vitamins (Dillon and Dillon 2004, Geib et al. 2008, during development, and previous studies have not yet categorized Morales-Jiménez et al. 2009, Berasategui et al. 2017). how corresponding gut communities respond (Park et al. 2007, Ma The Japanese pine sawyer, Monochamus alternatus (Hope; et al. 2009, Scully et al. 2014, Alves et al. 2016). Coleoptera: Cerambycidae), is the most important vector in Asia A deeper understanding of the structure of the microbiome of the for long-distance transport of the pine wood nematode (PWN), insect vector is required, and may contribute to the development of Bursaphelenchus xylophilus (Steiner and Buhrer) Nickle 1970, the new approaches to managing PWD. To better understand how do invasive pathogen that causes pine wilt disease (PWD), (Morimoto symbiotic intestinal bacterial communities relate to larval feeding © The Author(s) 2017. Published by Oxford University Press on behalf of Entomological Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ 1 licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected] 2 Journal of Insect Science, 2017, Vol. 17, No. 6 stage, we used a metagenomics approach to investigate the gut-asso- platform (San Diego, CA) for sequencing according to the stand- ciated bacteria diversity and community structures. ard protocols at Majorbio Bio-Pharm Technology, Shanghai, China. Raw fastq files were then demultiplexed and quality-filtered by using Materials and Methods QIIME (version 1.17). After pyrosequencing, the quality of the raw Miseq sequenc- Insect Collection and Dissection ing reads was checked with FastQC (Margulies et al. 2005, Andrews Larvae of M. alternatus in different instars were removed from 2014). Raw reads were quality screened by using an average minimum recently attacked Pinus massoniana (Lamb; Pinales: Pinaceae). quality score of 20. Barcodes and primers sequence were trimmed by Larvae in the first and second instar were collected from phloem and using the Trimmomatic. After quality control and barcode assignment, third, fourth, and fifth instar larvae were collected from sapwood operational taxonomic units (OTUs) were clustered with 97% simi- and heartwood. Larvae were placed on ice, and then transported to larity cutoff using Usearch (version 7.1) and chimeric sequences were the laboratory in sterile vials containing sterile moist paper. Sampling identified and removed using UCHIME. Mothur (http://www.mothur. was performed in the town of Guan Tou, Lianjiang county in Fujian org/) was used to sort sequences exactly matching the specific barcodes Province (N 26.15046°; E 119.59261°) in August 2015. All larvae into different samples. Then, Sickle tool (https://github.com/najoshi/ were manually removed directly from galleries using fine forceps. sickle) was used to perform the quality filtering to remove the reads with Instars first through fifth were separated according to the width their average quality score <50 or with any unknown bases. Then, the reads head capsules (Liu et al. 2008) (Table 1). Three larvae in each instar were assembled by Mothur command ‘make.contigs’ with the criteria of were prepared for 16S rRNA analysis, for a total of 15 samples. ‘maxambig = 0’, ‘maxhomop = 8’, and ‘minoverlap = 10’. The quality-fil- The larvae were surface sterilized with 70% ethanol for 1 min, tered reads were then processed by Mothur with commands ‘trim.seq’, and then rinsed twice with sterile water. After placing in 10 mM ster- ‘pre.cluster’, and ‘chimera.uchime’ to remove chimera and sequencing ilized phosphate-buffered saline (138 mM NaCl and 2.7 mM KCl, noise (Guo et al. 2015). Taxonomic classification of each sample was pH 7.4), the larvae were dissected under a stereomicroscope using individually conducted using Ribosomal Database Project (RDP) (http:// insect pins to obtain mid-guts and hindguts. One gut from each larva rdp.cme.msu.edu/) Classifier (version 2.6) with a confidence threshold was transferred to a 1.5-ml microcentrifuge tube with 500 ml of tris- of 50% (DeSantis et al. 2006, Wang et al. 2007, Cole et al. 2009, Quast EDTA (10 mM tris-HCl [pH 8.0], 1 mM EDTA) separately and then et al. 2013). ‘Aligner’ and ‘Complete Linkage Clustering’ were applied to homogenized several times with a plastic pestle, followed by vortex- calculate richness and diversity indices including OTUs, Shannon Index, ing for 3 min at the speed of 2500 r/min. The homogenate was cen- and Chaos index (Schloss et al. 2011). Sequences were rarefied to the trifuged at 4000 r/min for 15 s to separate the microbial cells from lowest number of reads in the samples using QIIME script single_rar- the gut wall tissues and undigested food (Hu et al. 2013). The super- efaction.py. before statistical analysis. Rarefaction curve methodology natant (containing bacteria) was transferred to new tubes for DNA was used to estimate the relationship between the expected OTU rich- extraction. All procedures were completed in a sterile environment. ness and sampling depth (Colwell et al. 2004). DNA Extraction and PCR Amplification Statistical Analysis DNA was extracted from the samples using QIAamp Fast DNA Principal component analysis (PCA) was performed using the vegan Stool Mini Kit (Qiagen,
Load more

Recommended publications
  • Battistuzzi2009chap07.Pdf
    Eubacteria Fabia U. Battistuzzia,b,* and S. Blair Hedgesa shown increasing support for lower-level phylogenetic Department of Biology, 208 Mueller Laboratory, The Pennsylvania clusters (e.g., classes and below), they have also shown the State University, University Park, PA 16802-5301, USA; bCurrent susceptibility of eubacterial phylogeny to biases such as address: Center for Evolutionary Functional Genomics, The Biodesign horizontal gene transfer (HGT) (20, 21). Institute, Arizona State University, Tempe, AZ 85287-5301, USA In recent years, three major approaches have been used *To whom correspondence should be addressed (Fabia.Battistuzzi@ asu.edu) for studying prokaryote phylogeny with data from com- plete genomes: (i) combining gene sequences in a single analysis of multiple genes (e.g., 7, 9, 10), (ii) combining Abstract trees from individual gene analyses into a single “super- tree” (e.g., 22, 23), and (iii) using the presence or absence The ~9400 recognized species of prokaryotes in the of genes (“gene content”) as the raw data to investigate Superkingdom Eubacteria are placed in 25 phyla. Their relationships (e.g., 17, 18). While the results of these dif- relationships have been diffi cult to establish, although ferent approaches have not agreed on many details of some major groups are emerging from genome analyses. relationships, there have been some points of agreement, A molecular timetree, estimated here, indicates that most such as support for the monophyly of all major classes (85%) of the phyla and classes arose in the Archean Eon and some phyla (e.g., Proteobacteria and Firmicutes). (4000−2500 million years ago, Ma) whereas most (95%) of 7 ese A ndings, although criticized by some (e.g., 24, 25), the families arose in the Proterozoic Eon (2500−542 Ma).
    [Show full text]
  • Alpine Soil Bacterial Community and Environmental Filters Bahar Shahnavaz
    Alpine soil bacterial community and environmental filters Bahar Shahnavaz To cite this version: Bahar Shahnavaz. Alpine soil bacterial community and environmental filters. Other [q-bio.OT]. Université Joseph-Fourier - Grenoble I, 2009. English. tel-00515414 HAL Id: tel-00515414 https://tel.archives-ouvertes.fr/tel-00515414 Submitted on 6 Sep 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour l’obtention du titre de l'Université Joseph-Fourier - Grenoble 1 École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Par Bahar SHAHNAVAZ Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr. Thierry HEULIN Rapporteur Dr. Christian JEANTHON Rapporteur Dr. Sylvie NAZARET Examinateur Dr. Jean MARTIN Examinateur Dr. Yves JOUANNEAU Président du jury Dr. Roberto GEREMIA Directeur de thèse Thèse préparée au sien du Laboratoire d’Ecologie Alpine (LECA, UMR UJF- CNRS 5553) THÈSE Pour l’obtention du titre de Docteur de l’Université de Grenoble École Doctorale : Chimie et Sciences du Vivant Spécialité : Biodiversité, Écologie, Environnement Communautés bactériennes de sols alpins et filtres environnementaux Bahar SHAHNAVAZ Directeur : Roberto GEREMIA Soutenue devant jury le 25 Septembre 2009 Composition du jury Dr.
    [Show full text]
  • Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
    Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae
    [Show full text]
  • Phylogenomic Analysis of 589 Metagenome-Assembled Genomes Encompassing All Major Prokaryotic Lineages from the Gut of Higher Termites
    Phylogenomic analysis of 589 metagenome-assembled genomes encompassing all major prokaryotic lineages from the gut of higher termites Vincent Hervé1, Pengfei Liu1, Carsten Dietrich1, David Sillam-Dussès2, Petr Stiblik3, Jan Šobotník3 and Andreas Brune1 1 Research Group Insect Gut Microbiology and Symbiosis, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany 2 Laboratory of Experimental and Comparative Ethology EA 4443, Université Paris 13, Villetaneuse, France 3 Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic ABSTRACT “Higher” termites have been able to colonize all tropical and subtropical regions because of their ability to digest lignocellulose with the aid of their prokaryotic gut microbiota. Over the last decade, numerous studies based on 16S rRNA gene amplicon libraries have largely described both the taxonomy and structure of the prokaryotic communities associated with termite guts. Host diet and microenvironmental conditions have emerged as the main factors structuring the microbial assemblages in the different gut compartments. Additionally, these molecular inventories have revealed the existence of termite-specific clusters that indicate coevolutionary processes in numerous prokaryotic lineages. However, for lack of representative isolates, the functional role of most lineages remains unclear. We reconstructed 589 metagenome-assembled genomes (MAGs) from the different Submitted 29 August 2019 gut compartments of eight higher termite species that encompass 17 prokaryotic
    [Show full text]
  • Microbial Diversity of Drilling Fluids from 3000 M Deep Koyna Pilot
    Science Reports Sci. Dril., 27, 1–23, 2020 https://doi.org/10.5194/sd-27-1-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Microbial diversity of drilling fluids from 3000 m deep Koyna pilot borehole provides insights into the deep biosphere of continental earth crust Himadri Bose1, Avishek Dutta1, Ajoy Roy2, Abhishek Gupta1, Sourav Mukhopadhyay1, Balaram Mohapatra1, Jayeeta Sarkar1, Sukanta Roy3, Sufia K. Kazy2, and Pinaki Sar1 1Environmental Microbiology and Genomics Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India 2Department of Biotechnology, National Institute of Technology Durgapur, Durgapur, 713209, West Bengal, India 3Ministry of Earth Sciences, Borehole Geophysics Research Laboratory, Karad, 415114, Maharashtra, India Correspondence: Pinaki Sar ([email protected], [email protected]) Received: 24 June 2019 – Revised: 25 September 2019 – Accepted: 16 December 2019 – Published: 27 May 2020 Abstract. Scientific deep drilling of the Koyna pilot borehole into the continental crust up to a depth of 3000 m below the surface at the Deccan Traps, India, provided a unique opportunity to explore microbial life within the deep granitic bedrock of the Archaean Eon. Microbial communities of the returned drilling fluid (fluid re- turned to the mud tank from the underground during the drilling operation; designated here as DF) sampled during the drilling operation of the Koyna pilot borehole at a depth range of 1681–2908 metres below the surface (m b.s.) were explored to gain a glimpse of the deep biosphere underneath the continental crust. Change of pH 2− to alkalinity, reduced abundance of Si and Al, but enrichment of Fe, Ca and SO4 in the samples from deeper horizons suggested a gradual infusion of elements or ions from the crystalline bedrock, leading to an observed geochemical shift in the DF.
    [Show full text]
  • Wedding Higher Taxonomic Ranks with Metabolic Signatures Coded in Prokaryotic Genomes
    Wedding higher taxonomic ranks with metabolic signatures coded in prokaryotic genomes Gregorio Iraola*, Hugo Naya* Corresponding authors: E-mail: [email protected], [email protected] This PDF file includes: Supplementary Table 1 Supplementary Figures 1 to 4 Supplementary Methods SUPPLEMENTARY TABLES Supplementary Tab. 1 Supplementary Tab. 1. Full prediction for the set of 108 external genomes used as test. genome domain phylum class order family genus prediction alphaproteobacterium_LFTY0 Bacteria Proteobacteria Alphaproteobacteria Rhodobacterales Rhodobacteraceae Unknown candidatus_nasuia_deltocephalinicola_PUNC_CP013211 Bacteria Proteobacteria Gammaproteobacteria Unknown Unknown Unknown candidatus_sulcia_muelleri_PUNC_CP013212 Bacteria Bacteroidetes Flavobacteriia Flavobacteriales NA Candidatus Sulcia deinococcus_grandis_ATCC43672_BCMS0 Bacteria Deinococcus-Thermus Deinococci Deinococcales Deinococcaceae Deinococcus devosia_sp_H5989_CP011300 Bacteria Proteobacteria Unknown Unknown Unknown Unknown micromonospora_RV43_LEKG0 Bacteria Actinobacteria Actinobacteria Micromonosporales Micromonosporaceae Micromonospora nitrosomonas_communis_Nm2_CP011451 Bacteria Proteobacteria Betaproteobacteria Nitrosomonadales Nitrosomonadaceae Unknown nocardia_seriolae_U1_BBYQ0 Bacteria Actinobacteria Actinobacteria Corynebacteriales Nocardiaceae Nocardia nocardiopsis_RV163_LEKI01 Bacteria Actinobacteria Actinobacteria Streptosporangiales Nocardiopsaceae Nocardiopsis oscillatoriales_cyanobacterium_MTP1_LNAA0 Bacteria Cyanobacteria NA Oscillatoriales
    [Show full text]
  • Genome Sequencing and Description of Oerskovia Enterophila Vjag, an Agar- and Cellulose-Degrading Bacterium Vanessa Jag1*† , Anja Poehlein2†, Frank R
    Jag et al. Standards in Genomic Sciences (2017) 12:30 DOI 10.1186/s40793-017-0244-4 SHORT GENOME REPORT Open Access Genome sequencing and description of Oerskovia enterophila VJag, an agar- and cellulose-degrading bacterium Vanessa Jag1*† , Anja Poehlein2†, Frank R. Bengelsdorf1, Rolf Daniel2 and Peter Dürre1 Abstract A nonmotile, Gram-positive bacterium that shows an elongated and branching cell shape was isolated from soil samples from the botanical garden of Ulm University, Ulm, Germany. Here, the isolation procedure, identification, genome sequencing and metabolic features of the strain are described. Phylogenetic analysis allowed to identify the isolated strain as Oerskovia enterophila. The genus Oerskovia belongs to the family Cellulomonadaceae within the order Actinomycetales. The length of cells of O. enterophila ranges from 1 μmto15μm, depending on the growth phase. In the exponential growth phase, cells show an elongated and branching shape, whereas cells break up to round or coccoid elements in the stationary growth phase. The 4,535,074 bp long genome consists of 85 contigs with 3918 protein-coding genes and 57 RNA genes. The isolated strain was shown to degrade numerous complex carbon sources such as cellulose, chitin, and starch, which can be found ubiquitously in nature. Moreover, analysis of the genomic sequence revealed the genetic potential to degrade these compounds. Keywords: Oerskovia, Cellulomonadaceae, Cellulose degradation, Soil bacteria, Phylogenetic analysis Introduction from 51% to more than 70% [5–7]. Actinobacteria are Oerskovia enterophila was formerly characterized as widely distributed in terrestrial as well as in aquatic Promicromonospora enterophila by Jàger et al. in 1983 habitats [8, 9].
    [Show full text]
  • (Gid ) Genes Coding for Putative Trna:M5u-54 Methyltransferases in 355 Bacterial and Archaeal Complete Genomes
    Table S1. Taxonomic distribution of the trmA and trmFO (gid ) genes coding for putative tRNA:m5U-54 methyltransferases in 355 bacterial and archaeal complete genomes. Asterisks indicate the presence and the number of putative genes found. Genomes Taxonomic position TrmA Gid Archaea Crenarchaea Aeropyrum pernix_K1 Crenarchaeota; Thermoprotei; Desulfurococcales; Desulfurococcaceae Cenarchaeum symbiosum Crenarchaeota; Thermoprotei; Cenarchaeales; Cenarchaeaceae Pyrobaculum aerophilum_str_IM2 Crenarchaeota; Thermoprotei; Thermoproteales; Thermoproteaceae Sulfolobus acidocaldarius_DSM_639 Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Sulfolobus solfataricus Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Sulfolobus tokodaii Crenarchaeota; Thermoprotei; Sulfolobales; Sulfolobaceae Euryarchaea Archaeoglobus fulgidus Euryarchaeota; Archaeoglobi; Archaeoglobales; Archaeoglobaceae Haloarcula marismortui_ATCC_43049 Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloarcula Halobacterium sp Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloarcula Haloquadratum walsbyi Euryarchaeota; Halobacteria; Halobacteriales; Halobacteriaceae; Haloquadra Methanobacterium thermoautotrophicum Euryarchaeota; Methanobacteria; Methanobacteriales; Methanobacteriaceae Methanococcoides burtonii_DSM_6242 Euryarchaeota; Methanomicrobia; Methanosarcinales; Methanosarcinaceae Methanococcus jannaschii Euryarchaeota; Methanococci; Methanococcales; Methanococcaceae Methanococcus maripaludis_S2 Euryarchaeota; Methanococci;
    [Show full text]
  • Plant-Derived Benzoxazinoids Act As Antibiotics and Shape Bacterial Communities
    Supplemental Material for: Plant-derived benzoxazinoids act as antibiotics and shape bacterial communities Niklas Schandry, Katharina Jandrasits, Ruben Garrido-Oter, Claude Becker Contents Supplemental Tables 2 Supplemental Table 1. Phylogenetic signal lambda . .2 Supplemental Table 2. Syncom strains . .3 Supplemental Table 3. PERMANOVA . .6 Supplemental Table 4. PERMANOVA comparing only two treatments . .7 Supplemental Table 5. ANOVA: Observed taxa . .8 Supplemental Table 6. Observed diversity means and pairwise comparisons . .9 Supplemental Table 7. ANOVA: Shannon Diversity . 11 Supplemental Table 8. Shannon diversity means and pairwise comparisons . 12 Supplemental Table 9. Correlation between change in relative abundance and change in growth . 14 Figures 15 Supplemental Figure 1 . 15 Supplemental Figure 2 . 16 Supplemental Figure 3 . 17 Supplemental Figure 4 . 18 1 Supplemental Tables Supplemental Table 1. Phylogenetic signal lambda Class Order Family lambda p.value All - All All All All 0.763 0.0004 * * Gram Negative - Proteobacteria All All All 0.817 0.0017 * * Alpha All All 0 0.9998 Alpha Rhizobiales All 0 1.0000 Alpha Rhizobiales Phyllobacteriacae 0 1.0000 Alpha Rhizobiales Rhizobiacaea 0.275 0.8837 Beta All All 1.034 0.0036 * * Beta Burkholderiales All 0.147 0.6171 Beta Burkholderiales Comamonadaceae 0 1.0000 Gamma All All 1 0.0000 * * Gamma Xanthomonadales All 1 0.0001 * * Gram Positive - Actinobacteria Actinomycetia Actinomycetales All 0 1.0000 Actinomycetia Actinomycetales Intrasporangiaceae 0.98 0.2730 Actinomycetia Actinomycetales Microbacteriaceae 1.054 0.3751 Actinomycetia Actinomycetales Nocardioidaceae 0 1.0000 Actinomycetia All All 0 1.0000 Gram Positive - All All All All 0.421 0.0325 * Gram Positive - Firmicutes Bacilli All All 0 1.0000 2 Supplemental Table 2.
    [Show full text]
  • Bibliography
    Bibliography Abella, C.A., X.P. Cristina, A. Martinez, I. Pibernat and X. Vila. 1998. on moderate concentrations of acetate: production of single cells. Two new motile phototrophic consortia: "Chlorochromatium lunatum" Appl. Microbiol. Biotechnol. 35: 686-689. and "Pelochromatium selenoides". Arch. Microbiol. 169: 452-459. Ahring, B.K, P. Westermann and RA. Mah. 1991b. Hydrogen inhibition Abella, C.A and LJ. Garcia-Gil. 1992. Microbial ecology of planktonic of acetate metabolism and kinetics of hydrogen consumption by Me­ filamentous phototrophic bacteria in holomictic freshwater lakes. Hy­ thanosarcina thermophila TM-I. Arch. Microbiol. 157: 38-42. drobiologia 243-244: 79-86. Ainsworth, G.C. and P.H.A Sheath. 1962. Microbial Classification: Ap­ Acca, M., M. Bocchetta, E. Ceccarelli, R Creti, KO. Stetter and P. Cam­ pendix I. Symp. Soc. Gen. Microbiol. 12: 456-463. marano. 1994. Updating mass and composition of archaeal and bac­ Alam, M. and D. Oesterhelt. 1984. Morphology, function and isolation terial ribosomes. Archaeal-like features of ribosomes from the deep­ of halobacterial flagella. ]. Mol. Biol. 176: 459-476. branching bacterium Aquifex pyrophilus. Syst. Appl. Microbiol. 16: 629- Albertano, P. and L. Kovacik. 1994. Is the genus LeptolynglYya (Cyano­ 637. phyte) a homogeneous taxon? Arch. Hydrobiol. Suppl. 105: 37-51. Achenbach-Richter, L., R Gupta, KO. Stetter and C.R Woese. 1987. Were Aldrich, H.C., D.B. Beimborn and P. Schönheit. 1987. Creation of arti­ the original eubacteria thermophiles? Syst. Appl. Microbiol. 9: 34- factual internal membranes during fixation of Methanobacterium ther­ 39. moautotrophicum. Can.]. Microbiol. 33: 844-849. Adams, D.G., D. Ashworth and B.
    [Show full text]
  • International Journal of Advanced Research in Biological Sciences
    Int. J. Adv. Res. Biol. Sci. (2017). 4(12): 292-299 International Journal of Advanced Research in Biological Sciences ISSN: 2348-8069 www.ijarbs.com DOI: 10.22192/ijarbs Coden: IJARQG(USA) Volume 4, Issue 12 - 2017 Research Article DOI: http://dx.doi.org/10.22192/ijarbs.2017.04.12.032 Taxonomic characterization of the chitinolytic actinomycete Cellulomonas chitinilytica strain HwAC11 Gamal M. El-Sherbiny1, Osama M. Darwesh2*, Ahmad S. El-Hawary1 1Botany and Microbiology Department, Faculty of Science (Boys); Al-Azhar University, Nasr City, Cairo, Egypt. 2Agricultural Microbiology Department, National Research Centre, Cairo, Egypt. *Corresponding author: E-mail: [email protected] Mobile: +201155265558, Fax: +20237601036 Abstract Chitinases apply in several useful fields such as agriculture, food industries and environmental applications. Because it helps degradation of fungal cell walls containing chitin and thus accelerates protoplast formation. The alkaliphilic action-bacterial strain HwAC11 was isolated from compost after examine 99 different samples. This isolate exhibited good growth on medium containing chitin as sole carbon source. Macro- and micro–morphological characteristics, enzyme activities, physiological and biochemical properties of the isolate were investigated. It was concluded that the strain HwAC11 is a member of the genus Cellulomonas. The results were compared with the taxonomic characteristics of Cellulomonas members and it was found to be similar to those of Cellulomonas chitinilytica. The phylogenetic analysis based on 16s ribosomal RNA gene sequence confirmed the phenotypic results and the sequences were deposited in gene bank under Cellulomonas chitinilytica strain HwAC11with accession number MH050787. The strain HwAC11 displayed intensive chitinase activity under alkaline conditions. It leads to apply this strain in agriculture field, especially as biological control agent for pathogenic fungi and harmful nematodes.
    [Show full text]
  • Type of the Paper (Article
    Supplementary Materials S1 Clinical details recorded, Sampling, DNA Extraction of Microbial DNA, 16S rRNA gene sequencing, Bioinformatic pipeline, Quantitative Polymerase Chain Reaction Clinical details recorded In addition to the microbial specimen, the following clinical features were also recorded for each patient: age, gender, infection type (primary or secondary, meaning initial or revision treatment), pain, tenderness to percussion, sinus tract and size of the periapical radiolucency, to determine the correlation between these features and microbial findings (Table 1). Prevalence of all clinical signs and symptoms (except periapical lesion size) were recorded on a binary scale [0 = absent, 1 = present], while the size of the radiolucency was measured in millimetres by two endodontic specialists on two- dimensional periapical radiographs (Planmeca Romexis, Coventry, UK). Sampling After anaesthesia, the tooth to be treated was isolated with a rubber dam (UnoDent, Essex, UK), and field decontamination was carried out before and after access opening, according to an established protocol, and shown to eliminate contaminating DNA (Data not shown). An access cavity was cut with a sterile bur under sterile saline irrigation (0.9% NaCl, Mölnlycke Health Care, Göteborg, Sweden), with contamination control samples taken. Root canal patency was assessed with a sterile K-file (Dentsply-Sirona, Ballaigues, Switzerland). For non-culture-based analysis, clinical samples were collected by inserting two paper points size 15 (Dentsply Sirona, USA) into the root canal. Each paper point was retained in the canal for 1 min with careful agitation, then was transferred to −80ºC storage immediately before further analysis. Cases of secondary endodontic treatment were sampled using the same protocol, with the exception that specimens were collected after removal of the coronal gutta-percha with Gates Glidden drills (Dentsply-Sirona, Switzerland).
    [Show full text]